The Economics of Network Flows

My research on the economics of network flows is motivated by (i) the possibility of bads being carried through networks, together with goods, (ii) the analysis of strategic behavior of agents in networks, and (iii) the experimental testing of theoretical predictions about strategic behavior. Chapte...

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Main Author: Hong, Sunghoon
Other Authors: Myrna H. Wooders
Format: Others
Language:en
Published: VANDERBILT 2012
Subjects:
Online Access:http://etd.library.vanderbilt.edu/available/etd-04172012-111943/
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spelling ndltd-VANDERBILT-oai-VANDERBILTETD-etd-04172012-1119432013-01-08T17:16:58Z The Economics of Network Flows Hong, Sunghoon Economics My research on the economics of network flows is motivated by (i) the possibility of bads being carried through networks, together with goods, (ii) the analysis of strategic behavior of agents in networks, and (iii) the experimental testing of theoretical predictions about strategic behavior. Chapter 2 examines a model with two adversarial players. One player can carry bads through a network while the other player can inspect the network to stop the transport of bads. In equilibrium each player chooses a mixed strategy. Chapter 3 analyzes a model with two non-adversarial players. One player can act to mitigate bads at a source while the other player can act to reduce bads through a network. If one player acts, both players benefit from the decrease in bads. Each player pays for the cost of action. Thus, players may try to free-ride on the other's action. Chapter 4 studies a simple model for empirical and experimental analysis. This model exhibits the power law of conflict, which is an empirical regularity that the frequency of conflict events, such as murders, insurgencies, and wars, scales as an inverse power of the severity of the events. The power law is a good fit to the Iraqi data in Global Terrorism Database. Myrna H. Wooders John P. Conley John A. Weymark Jacob S. Sagi VANDERBILT 2012-04-17 text application/pdf http://etd.library.vanderbilt.edu/available/etd-04172012-111943/ http://etd.library.vanderbilt.edu/available/etd-04172012-111943/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic Economics
spellingShingle Economics
Hong, Sunghoon
The Economics of Network Flows
description My research on the economics of network flows is motivated by (i) the possibility of bads being carried through networks, together with goods, (ii) the analysis of strategic behavior of agents in networks, and (iii) the experimental testing of theoretical predictions about strategic behavior. Chapter 2 examines a model with two adversarial players. One player can carry bads through a network while the other player can inspect the network to stop the transport of bads. In equilibrium each player chooses a mixed strategy. Chapter 3 analyzes a model with two non-adversarial players. One player can act to mitigate bads at a source while the other player can act to reduce bads through a network. If one player acts, both players benefit from the decrease in bads. Each player pays for the cost of action. Thus, players may try to free-ride on the other's action. Chapter 4 studies a simple model for empirical and experimental analysis. This model exhibits the power law of conflict, which is an empirical regularity that the frequency of conflict events, such as murders, insurgencies, and wars, scales as an inverse power of the severity of the events. The power law is a good fit to the Iraqi data in Global Terrorism Database.
author2 Myrna H. Wooders
author_facet Myrna H. Wooders
Hong, Sunghoon
author Hong, Sunghoon
author_sort Hong, Sunghoon
title The Economics of Network Flows
title_short The Economics of Network Flows
title_full The Economics of Network Flows
title_fullStr The Economics of Network Flows
title_full_unstemmed The Economics of Network Flows
title_sort economics of network flows
publisher VANDERBILT
publishDate 2012
url http://etd.library.vanderbilt.edu/available/etd-04172012-111943/
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